Abstract:In the new paradigm, electric power system development should provide a negotiation space mechanism between all players with the objective function to maximize payoff distributed to each player in the system. Uncertainty risk and operate effectively and efficiently become a high consideration for all players in the decision making processes to select an investment and power system operation. This paper deals with simultaneous and desentralized with multiple objectives scenario within a global framework. The planning mechanism is prepared on the basis of cooperative game theory. Its coperative framework will encouraged an independently, distributed decision making in the competitive structure environtment. Main contributions of this paper are: a general model for power system planning in the form of cooperative game theory, and its time and spatial decomposition. This method will be implemented in Garver test system. Index Terms: power system planning, game theory, Shapley bilateral, coalition formation, static security IntroductionDecentralized policy of natural resources management, existing disparity of electric demand in sector classification and in regional level, also the needs for unbundling vertically integrated electric power business stimulate and modify significantly the process and mechanism in power system planning and development. Traditionally, electric power system planning was conducted as a centralized planning with the objective function to minimize investment and operation cost in a framework of welfare maximization for an established reliability services. In line with the restructuring of power industry, some research works have appeared on power system planning on the basis of competitive structure. Due to the the complexity of the problem itself, and some ambiguities in the policies regarding relationship between long-term planning horizon and day by day operations of deregulated power system, the models developed so far are not yet able to compatible to the needs of planners and policymakers.In the new paradigm, electric power system development should provide a negotiation space mechanism between all players with the objective function to maximize payoff distributed to each player in the system. Uncertainty risk and operate effectively and efficiently become a high consideration for all players, including independent power producers, transmission owners, independent system operators and consumers in the decision making to select an investment and power system operation. Consequently, power system planning deals with a decentralized planning with multiple objectives scenario within a global framework, and its planning mechanism should be able to evolve adaptively on a number of planning horizons.There have been a few research works on simultaneous generation and transmission expansion planning. Initial work conducted by incorporating the costs of generation and transmission facilities in a single objective formulation, that minimize total investment cost. A transportation models h...
The partial shading of photovoltaic (PV) modules due to clouds or blocking objects, such as buildings or tree leaves, is a common problem for photovoltaic systems. To address this, maximum power point tracking (MPPT) is implemented to find the global maximum power point (GMPP). In this paper, a new hybrid MPPT is proposed that combines a modified grasshopper optimization algorithm (GOA) with incremental conductance (IC). In the first stage, the proposed modified GOA is implemented to find a suitable tracking area where the GMPP is located. Then the system moves to the second stage by implementing IC to get the correct GMPP. IC is a fast-performing and reliable algorithm. By combining GOA and IC, the proposed method can find the GMPP accurately with a short tracking time. Various experimental results show that the proposed method yields the highest tracking efficiency and lowest tracking time compared to some of the state-of-the-art MPPT algorithms, such as particle swarm and modified firefly optimizations.
The electric arc furnace can cause voltage flicker and produce harmonics that can impact the power system. This is due to the characteristics of electric arc furnace as a nonlinear load. Designing an electric arc furnace model is intended to study the characteristics of the electric arc furnace and its impact to the power system. The voltage flicker model of Chua's Chaotic Circuit and differential equations of the arc length will be used in the modeling of the electric arc furnace. In accordance with the purposes of this study, the model of electric arc furnace will be applied to the design and placement plan in the power system. Before applying the electric arc furnace model to the power system, the v-i characteristic of electric arc furnace, harmonics, flicker, and other preinstallation requirements will be studied as mentioned in the grid code.
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