Distributed optimal dispatching method for smart distribution network considering effective interaction of source-network-load-storage flexible resources

Sun, Bing; Jing, Ruipeng; Zeng, Yuan; Li, Yunfei; Chen, Jiahao; Liang, Gang

doi:10.1016/j.egyr.2022.11.178

Cited by 22 publications

(9 citation statements)

References 24 publications

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“…According to the determined objective function and constraint conditions, a two-level optimization model, upper layer configuration and lower layer scheduling are adopted [17]. Taking the 24-hour operation data of a micro grid as an example, 1h as the step size, MOPSO algorithm and improved MOPSO are respectively applied to solve the problem.…”

Section: Simulation and Results Analysismentioning

confidence: 99%

Research on optimal schedule strategy of distributed generation considering distribution network margin

Zhang,

Luo,

Zhang

et al. 2024

Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023)

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The large-scale integration of distributed generation brings challenges such as operation instability and large fluctuation of distribution network margin to the new distribution network. A reasonable distributed generation configuration scheme can reduce the power supply cost and improve the energy utilization rate of the distribution system. This paper establishes a two-layer optimization model based on the economy, environmental protection and power supply reliability of distributed microgrid. The capacity of distributed microgrid is configured in the upper layer, and the economy of distributed microgrid is optimized in the lower layer. Under the constraints of the installation number, power balance and battery state of charge of distributed generation, adopt an improved multi-objective particle swarm optimization algorithm to solve the problem. The algorithm improves the learning factor and inertia weight to ensure the global search ability of the algorithm in the early stage and the fast convergence to the optimal solution in the later stage, and introduces an adaptive mutation crossover strategy in the particle search process to avoid the particle falling into local optimum. The experimental results indicate the improved MOPSO algorithm obtains lower comprehensive cost, more reasonable configuration capacity, faster convergence speed and stronger optimization ability in the simulation process, which verifies the feasibility of the algorithm.

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Section: Simulation and Results Analysismentioning

confidence: 99%

Research on optimal schedule strategy of distributed generation considering distribution network margin

Zhang,

Luo,

Zhang

et al. 2024

Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023)

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“…A regional energy system is composed of multiple forms of energy, which can include gas, electricity, and other energy sources. The optimization of multi-energy coupling in regional energy internet is achieved by establishing a general model for optimizing the "SNLS" operation of regional energy internet based on economic indicators, as shown in Equation (1). min ( ) .…”

Section: Models and Methodsmentioning

confidence: 99%

“…The micro-energy network has achieved efficient use of energy, connecting energy and user end, and ultimately developing deeply through the energy internet, integrating the conversion, scheduling, production, and use of energy, achieving maximum coordination and cooperation in the utilization of various energy sources [1]. From the energy production system to the energy use system, uninterrupted integration and cross-regional connections between energy sources have been achieved throughout the entire region [2].…”

Section: Introductionmentioning

confidence: 99%

Research on optimization of multi-energy coupling source-network-load-storage based on micro energy network

Han,

Ren,

Zhan

et al. 2024

J. Phys.: Conf. Ser.

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Based on the architecture of the micro energy network system, a “source network load storage” multi-energy coupling hub system for regional energy internet with electricity gas interconnection is proposed. The lowest operating is set as the optimization goal for the operation of the regional energy internet. A dynamic economic scheduling model for regional energy interconnection based on the sky and an optimization scheduling model for regional energy internet are established. A mixed integer linear programming program based on Matlab is written and solved using CPLex. The results show the operation of the “source grid load storage” regional energy internet with multiple energy coupling hubs as the core is lower than that of traditional micro-grids When adding an energy storage system, the daily operating of the micro-grid system is 16.7% less than that of Control Scenario 1 and 14.3% less than that of Control Scenario 2 The proposal of a regional energy internet “source network load storage” multi-energy coupling hub system based on the micro energy network system architecture provides a feasible basis for the planning and construction research of the regional energy internet.

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“…The index of annual economic benefit, i. e., the opposite of C total , is used later. For the DR, this paper considers the DR users of translational load [35]. The compensation cost C 4 can be calculated by multiplying the load shedding by the compensation price C t,DR .…”

Section: ) Costsmentioning

confidence: 99%

Quick Hosting Capacity Evaluation Based on Distributed Dispatching for Smart Distribution Network Planning with Distributed Generation

Sun,

Jing,

et al. 2024

Journal of Modern Power Systems and Clean Energy

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The smart distribution network (SDN) is integrating increasing distributed generation (DG) and energy storage (ES). Hosting capacity evaluation is important for SDN planning with DG. DG and ES are usually invested by users or a third party, and they may form friendly microgrids (MGs) and operate independently. Traditional centralized dispatching method no longer suits for hosting capacity evaluation of SDN. A quick hosting capacity evaluation method based on distributed optimal dispatching is proposed. Firstly, a multi-objective DG hosting capacity evaluation model is established, and the hosting capacity for DG is determined by the optimal DG planning schemes. The steady-state security region method is applied to speed up the solving process of the DG hosting capacity evaluation model. Then, the optimal dispatching models are established for MG and SDN respectively to realize the operating simulation. Under the distributed dispatching strategy, the dualside optimal operation of SDN-MGs can be realized by several iterations of power exchange requirement. Finally, an SDN with four MGs is conducted considering multiple flexible resources. It shows that the DG hosting capacity of SDN oversteps the sum of the maximum active power demand and the rated branch capacity. Besides, the annual DG electricity oversteps the maximum active power demand value.

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Distributed optimal dispatching method for smart distribution network considering effective interaction of source-network-load-storage flexible resources

Cited by 22 publications

References 24 publications

Research on optimal schedule strategy of distributed generation considering distribution network margin

Research on optimal schedule strategy of distributed generation considering distribution network margin

Research on optimization of multi-energy coupling source-network-load-storage based on micro energy network

Quick Hosting Capacity Evaluation Based on Distributed Dispatching for Smart Distribution Network Planning with Distributed Generation

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