Temporal and spatial distribution (TSD) model presented in our previous work of air pollutants is an effective model in describing the increment ground level concentration caused by power generation. In this paper, the newly emerging temporal and spatial characteristics of power dispatch when incorporating the TSD model are studied. Firstly, a multi-objective optimization dispatching model for wind-thermalstorage generation system is proposed. In the time dimension, the model can coordinate multiple generation sources in the face of atmospheric condition variation. In the space dimension, the correlations between power plants location, pollutant diffusion paths and atmospheric boundary layers are considered. Secondly, chance constraints are adopted to address stochastic variables, while the stochastic formulation is transformed into a deterministic one based on wind power distribution. Then a multi-objective optimization method is employed to obtain a desired Pareto front. Case studies are carried out on modified IEEE 39-bus system and Guangdong grid system under four strategies, which validate the performance of the proposed model and the effectiveness of the strategy. INDEX TERMS Environmental economic dispatch, comprehensive pollution evaluation value, geographic grid, temporal and spatial characteristics, multi-objective optimization. NOMENCLATURE INDICES WEICONG WU received the B.S. degree in electrical engineering from Huaqiao University, Xiamen, China, in 2018. He is currently pursuing the M.S. degree in electrical engineering with the School of Electric Power Engineering. His research interest includes optimal operation of power systems.
Aiming at the problem of coordinating system economy, security and control performance in secondary frequency regulation of the power grid, a sectional automatic generation control (AGC) dispatch framework is proposed. The dispatch of AGC is classified as three sections with the sectional dispatch method. Besides, a hierarchical multi-agent deep deterministic policy gradient (HMA-DDPG) algorithm is proposed for the framework in this paper. This algorithm, considering economy and security of the system in AGC dispatch, can ensure the control performance of AGC. Furthermore, through simulation, the control effect of the sectional dispatch method and several AGC dispatch methods on the Guangdong province power grid system and the IEEE 39 bus system is compared. The result shows that the best effect can be achieved with the sectional dispatch method. INDEX TERMS automatic generation control; hierarchical multi-agent deep deterministic policy gradient; sectional AGC dispatch; reinforcement learning.
This paper proposes an environmental economic dispatch strategy for power-gas interconnection system considering spatiotemporal diffusion of air pollutant and P2G in coastal areas. Firstly, considering the complex and changeable meteorological conditions in coastal areas and the regional characteristics of the atmospheric layer, an air pollutant diffusion model considering the local sea-land circulation and thermal inner boundary layer is studied. Then, a multi-objective environmental economic dispatch model is employed, and the economic cost, carbon emission quantities, and pollutant concentration contribution values are set as optimization objectives. Finally, we conduct the optimization with the multiobjective distributed algorithm based on ADMM. Cases study is carried out on IEEE39 power network and Belgium 20 gas network, which validate the effectiveness of the proposed strategy.
The existing reliability models of the cyber physical distribution systems, which are mostly based on some simplified assumptions, cannot accurately evaluate the reliability of complex cases in practical engineering applications. To solve this problem, an elaborate reliability evaluation method considering the whole process of fault location, isolation and supply restoration is proposed. This paper establishes reliability models of components and the two systems, summarizes the mapping relationship between various cyber system failures and the physical fault handling into several laws, proposes the reliability evaluation procedure in the framework of Monte Carlo method, and verifies the feasibility and effectiveness of the method in an actual distribution network cyber physical system. In the proposed method, the multiple component characteristics, complex topological structure, coupling relationship of the cyber-physical distribution systems, and the actual human-computer joint participation are considered in the analysis of fault location, isolation and supply restoration process, which provides a effective and accurate theory for the application of reliability evaluation in the actual distribution network and prosumer energy management system.
This paper proposes a novel multi-searcher optimization (MSO) algorithm for the optimal energy dispatch (OED) of combined heat and power-thermal-wind-photovoltaic systems. The available power of wind turbine (WT) units and photovoltaic (PV) units is approximated with the probability density functions of wind speed and solar irradiance, respectively. The chaos theory is used to implement a wide global search, which can effectively avoid a low-quality local optimum for OED. Besides, a double-layer searcher is designed to guarantee fast convergence to a high-quality optimal solution. Finally, three benchmark functions and an energy system with 27 units are used for testing the performance of the MSO compared with nine other frequently used heuristic algorithms. The simulation results demonstrate that the proposed technique not only can solve the highly nonlinear, non-smooth, and non-convex OED problem of an energy system, but can also achieve a superior performance for the convergence speed and the optimum quality.
In the researching background of integrated energy system, a single electricity-gas-heating system (EGHS) can be regarded as an active producer. In order to solve the joint optimization of integrated energy systems under the condition of incomplete information, this paper proposes a distributed optimal scheduling framework of EGHS. First, establish a coupling model of the interconnected EGHS, and perform strict second-order cone convexity of the complex natural gas flow model. Next, use the bus splitting method to realize the decoupling between different regions of the interconnected system, and employ the alternating direction multiplier method (ADMM) to solve the model. Then, construct two-region energy system (78-node grid + 40-node gas grid + 40-node heat grid) and three-region energy system (117-node grid + 60 node gas grid + 60-node heat grid) as simulation examples to verify the effectiveness of the distributed optimization framework. In the end, the algorithm solution process, the effectiveness of scheduling results, and the comparison of optimization results under different interconnection methods are analyzed in detail. INDEX TERMS Electricity-gas-heating system, alternating direction method of multiplies, distributed optimal scheduling, second-order cone programming.
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