Cooperative Operation Framework for a Wind-Solar-CCHP Multi-Energy System Based on Nash Bargaining Solution

Abstract

A multi-energy system can supply both electric and thermal energy simultaneously to the end-users to achieve a high energy use-efficiency. However conventional operational strategies for multienergy systems, in the existing works, do not consider renewable energy generation plants and CCHP plants as belonging to different interests. To cope with this problem, this article studies a cooperative operation framework model for a Wind-Solar-CCHP Multi-energy system. Instead of the conventional noncooperative solution-based method, the optimal operation scheduling problem of a multi-energy system is described as an optimization problem of Nash Bargaining. Then the optimization problem of Nash Bargaining for the multi-energy system decomposed into two subproblems: social welfare maximization problem (P1) and energy trading payment problem (P2). The optimal energy transaction profiles can be obtained by solving the P1 problem and the problem of payment of energy trading between PV, WT plant agents and the CCHP plant agent can be obtained by solving the P2 problem. Both problems P1 and P2 can be formulated into mixed-integer linear programming problems and solved by the alternating directional multiplier method. Numerical studies demonstrate the correctness and effectiveness of the proposed cooperative operation framework and distributed algorithm for solving the two subproblems. Moreover, the bargaining-based cooperative operation method can further induce the multi-energy system to improve the operating profit with the reduced feed-in tariff of distributed generation.

Co-Operative Optimization Framework for Energy Management Considering CVaR Assessment and Game Theory

“…In the objective function (6), τ w denotes the probability of occurrence of the scenario w. π t MA2G,s and π t MA2G,b denote the tariff that the MA sells electricity to the grid and purchases electricity from the grid, respectively. π i,t MG2MA,s and π i,t MG2MA,b denote the tariff that MG i purchases electricity from the MA and sells electricity to the MA at time slot t, respectively.…”

“…In recent years, many scholars have achieved fruitful results on the economic operation of multi-microgrids and the benefit allocation problem. In [6], the author establishes a Nash bargaining model for the economic dispatch of multi-operator MGs by day based on a co-operative game. The model not only enables each operator to obtain the Pareto optimal cost but also minimizes the cost of MGs.…”

Capacity Allocation Optimization Framework for Hydrogen Integrated Energy System Considering Hydrogen Trading and Long-Term Hydrogen Storage

“…Part of the research considers the participation of hydrogen production in the distribution grid demand response and auxiliary methods from the distribution grid side, and constructs the optimization model of the distribution grid and distributed hydrogen production station to improve the flexibility of the distribution grid system [12]- [13] . There is also research into the use of distributed optimization algorithms to solve the problem of benefit distribution among multiple entities in integrated energy systems [14] . The authors of [15] construct an optimal scheduling model for hydrogen energy integrated energy systems using information gap theory to portray the uncertainty of new energy sources.…”

“…shs/hs V shs/hs = n t,shs/hs RT H(13) m s,t,shs/hs = M H n t,shs/hs(14) wherep t,shs/hs indicates the pressure of SHS at moment t; n t,shs/hs indicates the amount of hydrogen substance in SHS at moment t; m s,t,shs/hs indicates the mass of hydrogen in SHS at moment t; R indicates the ideal gas constant;T H indicates gas temperature; M H is the relative molecular mass of hydrogen; V shs/hs indicates the volume of the SHS/HS. At constant temperature, p t,shs and m s,t,shs in SHS are linearly related.…”

IC Pattern Based Power Factor Maximization Model for Improved Power Stabilization

“…The method works based on the active power profile defined by the operator. In [17], a cooperative operation framework model for a Wind-Solar-CCHP Multi-energy system is defined. The Nash Bargaining problem is optimized to solve energy trading and social welfare maximization problem.…”